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ai-sdk

Implement and migrate Vercel AI SDK v6 workflows with tool-calling and structured output.

2|Updated Mar 29, 2026
Search Tags:#typescript#ai#llm#sdk#agents#streaming#vercel
One-click install
npx skills add https://github.com/NagyVikt/codex-plugins --skill ai-sdk-nagyvikt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/NagyVikt/codex-plugins/tree/main/plugins/vercel/skills/ai-sdk
Command: npx skills add https://github.com/NagyVikt/codex-plugins --skill ai-sdk-nagyvikt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides expert guidance for the Vercel AI SDK v6, helping developers navigate breaking changes, implement correct streaming patterns, and integrate advanced AI features like tool calling and structured output.

Core Features & Use Cases

  • Unified AI API: Standardizes text generation, streaming, and structured output across all LLM providers.
  • Agentic Workflows: Implements robust tool-calling loops and agentic behavior using the ToolLoopAgent class.
  • Migration Support: Provides automated validation and upgrade paths for legacy v5 code, including transport configuration and schema updates.

Quick Start

Use the ai-sdk skill to migrate my existing chat route to the v6 transport pattern and implement structured output with Output.object.

Frequently Asked Questions about ai-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I migrate my existing chat route to the Vercel AI SDK v6 transport pattern?▼

Migrating legacy v5 chat routes to Vercel AI SDK v6 requires configuring transport-based chat handling, updating schema definitions, and validating code against v6 architectural patterns to ensure correct streaming and structured output behavior.

How do I implement structured output with type-safe schema definitions in the Vercel AI SDK?▼

Structured output in the Vercel AI SDK is implemented using Output.object, enabling type-safe schema definitions across unified LLM providers. This ensures standardized data formatting and validation for your AI-powered application responses.

What is the best way to build agentic workflows with tool calling using the Vercel AI SDK?▼

Building agentic workflows with the Vercel AI SDK involves implementing robust tool-calling loops using the ToolLoopAgent class. This approach supports complex agentic behavior with MCP-aligned tool definitions for reliable execution.

Does the Vercel AI SDK v6 support unified provider routing for streaming text generation?▼

Yes, the Vercel AI SDK v6 supports unified provider routing for streaming text generation. It standardizes the AI API across all LLM providers, ensuring consistent streaming patterns and observability regardless of the underlying model.

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